Your AI CEO answers the question your board will ask before they ask it.
You'd think this needs a 2-hour ops review every Friday — Astra has it ready every Monday with the actual numbers, not vibes.
Astra answers "how are OKRs tracking" by reading your Notion OKR doc, joining each Key Result to live data, and projecting end-of-quarter outcome. She fetches the OKR from your Notion workspace, parses each KR (numeric target, deadline), routes the metric source to the right system — MRR to Stripe, signups to PostHog, organic traffic to GA4, NPS to your Typeform — and computes "actual vs pace." An OKR pacing at 1.0 is on track; <0.85 is at risk; <0.6 is at-risk-of-miss. For every yellow or red KR she proposes one specific fix grounded in your data. Output is a Lark message with a stoplight per KR, the projected end-of-quarter number, and the next action for each at-risk item. Updates every Monday automatically; on-demand any other time.
Fetch the current quarter OKR page from Notion. Parse each KR for: target metric, target value, deadline, owner.
Route to source: MRR→Stripe, signups→PostHog, organic clicks→GSC, NPS→Typeform, support CSAT→Zendesk. Pull current actual + 4-week trend.
Pace = (actual / target) × (days_elapsed / total_days)⁻¹. Project EOQ outcome by linear extrapolation, flag if trend is non-linear (S-curve, plateau).
Green ≥0.95, Yellow 0.6-0.95, Red <0.6. For each yellow/red, identify the bottleneck: not enough top-of-funnel? Conversion dropped? Churn spiked?
Specific, actionable, owned. e.g. "Q2 MRR pacing 0.71. Bottleneck = trial→paid down 22%. Fix = ship the 3-step onboarding revamp by next Friday."
A weekly Lark message with stoplight rating, current actual, projected EOQ outcome, bottleneck diagnosis, and one specific fix per at-risk KR.
Weekly Monday 9am, plus on-demand and event-driven (any KR drops > 10% week-over-week).
We'll spin up your workspace, hand the prompt to Astra, and you see the answer in 60 seconds. Free.
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Astra reads OKRs from anywhere structured — Notion, Linear, Asana, Lattice, Google Doc, or even a pasted Lark message. She just needs each KR to have a target value, deadline, and a metric name she can route to a data source.
Astra handles qualitative KRs by tracking the underlying milestones you list (e.g., "hire VP Eng" → tracks role open, candidates in pipeline, offer accepted). She'll prompt you for status on truly subjective items but won't fabricate progress.
Yes — once she's parsed and joined the OKR data, she can also produce the board-ready summary, the investor update paragraph, and the all-hands talking points all from the same source. Ask her after the OKR check or use the related skill `make-me-a-board-deck`.
For metrics with seasonality or expected non-linearity (e.g., revenue from a launch event, hiring lumps), Astra fits the trend and flags low confidence in the projection. She'll show "projected $X ± $Y" and explain the variance source instead of pretending it's a clean line.